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1. Full Text Learning ordinal data
by Qiao, Xingye
Wiley Interdisciplinary Reviews: Computational Statistics, ISSN 1939-5108, 09/2015, Volume 7, Issue 5, pp. 341 - 346
Classification is an important topic in statistical learning. The goal of classification is to build a predictive model from the training dataset for the class... 
statistical computing | support vector machine | classification | multivariate analysis | regression | Regression | Statistical computing | Support vector machine | Multivariate analysis | Classification | Data analysis | Methodology | Data processing | Labels | Statistical methods | Data | Clustering | Statistics | Learning | Training | Graphical methods | Cancer
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2. Full Text Variable selection using Lq penalties
by Qiao, Xingye
Wiley Interdisciplinary Reviews: Computational Statistics, ISSN 1939-5108, 05/2014, Volume 6, Issue 3, pp. 177 - 184
High‐dimensional data analysis emerges in many different areas of scientific research and social practice. Variable selection is an important task in... 
linear regression | penalized likelihood | variable selection | independence learning | high‐dimensional learning | High-dimensional learning | Independence learning | Linear regression | Penalized likelihood | Variable selection | Data analysis | Regression analysis | Reptiles & amphibians | Methods | Statistical analysis | Methodology | Innovations | Data processing | Statistical methods | Data | Research | Regressions | Statistical models | Dimensional analysis | Analysis | Graphical methods | Classification | Computer applications | Models | Modelling | Mathematical models | Statistical modelling
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3. Full Text A statistical approach to set classification by feature selection with applications to classification of histopathology images
: Set Classification
by Jung, Sungkyu and Qiao, Xingye
Biometrics, ISSN 0006-341X, 09/2014, Volume 70, Issue 3, pp. 536 - 545
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4. Full Text Sparse Fisher's linear discriminant analysis for partially labeled data
: LDA for Partially Labeled Data
by Lu, Qiyi and Qiao, Xingye
Statistical Analysis and Data Mining: The ASA Data Science Journal, ISSN 1932-1864, 02/2018, Volume 11, Issue 1, pp. 17 - 31
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5. Variable selection using L sub(q) penalties
by Qiao, Xingye
Wiley Interdisciplinary Reviews. Computational Statistics, ISSN 1939-5108, 05/2014, Volume 6, Issue 3, pp. 177 - 184
High-dimensional data analysis emerges in many different areas of scientific research and social practice. Variable selection is an important task in... 
Computation | Classification | Norms | Regression | Data processing | Mathematical models | Wire | Statistics
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6. Full Text Variable selection usingLqpenalties
: Variable selection usingLqpenalties
by Qiao, Xingye
Wiley Interdisciplinary Reviews: Computational Statistics, ISSN 1939-5108, 05/2014, Volume 6, Issue 3, pp. 177 - 184
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7. Full Text The oral and gut microbiomes are perturbed in rheumatoid arthritis and partly normalized after treatment
by Zhang, Xuan and Zhang, Dongya and Jia, Huijue and Feng, Qiang and Wang, Donghui and Liang, Di and Wu, Xiangni and Li, Junhua and Tang, Longqing and Li, Yin and Lan, Zhou and Chen, Bing and Li, Yanli and Zhong, Huanzi and Xie, Hailiang and Jie, Zhuye and Chen, Weineng and Tang, Shanmei and Xu, Xiaoqiang and Wang, Xiaokai and Cai, Xianghang and Liu, Sheng and Xia, Yan and Li, Jiyang and Qiao, Xingye and Al-Aama, Jumana Yousuf and Chen, Hua and Wang, Li and Wu, Qing-Jun and Zhang, Fengchun and Zheng, Wenjie and Li, Yongzhe and Zhang, Mingrong and Luo, Guangwen and Xue, Wenbin and Xiao, Liang and Li, Jun and Chen, Wanting and Xu, Xun and Yin, Ye and Yang, Huanming and Wang, Jian and Kristiansen, Karsten and Liu, Liang and Li, Ting and Huang, Qingchun and Li, Yingrui and Wang, Jun
Nature Medicine, ISSN 1078-8956, 08/2015, Volume 21, Issue 8, pp. 895 - 905
We carried out metagenomic shotgun sequencing and a metagenome-wide association study (MGWAS) of fecal, dental and salivary samples from a cohort of... 
MEDICINE, RESEARCH & EXPERIMENTAL | BIOCHEMISTRY & MOLECULAR BIOLOGY | WILFORDII HOOK-F | IDENTIFICATION | CELL BIOLOGY | PATHOGENESIS | TRIAL | IMPACT | DISEASE | INFECTION | HEALTH | ASSOCIATION | JOINT | Microbiota | Intestines - microbiology | Mouth - microbiology | Arthritis, Rheumatoid - drug therapy | Humans | Saliva - microbiology | Arthritis, Rheumatoid - microbiology | C-Reactive Protein - analysis | Metagenome | Antirheumatic Agents - therapeutic use | Complications and side effects | Usage | Care and treatment | Antirheumatic agents | Microbiota (Symbiotic organisms) | Rheumatoid arthritis | Dosage and administration | Nucleotide sequencing | Research | Dysbiosis | Risk factors | DNA sequencing | Microorganisms | Digestive system | Genomics | Mouth
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8. Stabilized Nearest Neighbor Classifier and its Statistical Properties
by Will Wei Sun and Xingye Qiao and Guang Cheng
Journal of the American Statistical Association, ISSN 0162-1459, 09/2016, Volume 111, Issue 515, p. 1254
  The stability of statistical analysis is an important indicator for reproducibility, which is one main principle of the scientific method. It entails that... 
Scientific method | Statistical analysis | Vector space | Classification | Euclidean space | Sampling | Programming languages
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9. Stabilized Nearest Neighbor Classifier and its Statistical Properties
by Sun, Will Wei and Qiao, Xingye and Cheng, Guang
Journal of the American Statistical Association, ISSN 0162-1459, 09/2016, Volume 111, Issue 515, pp. 1254 - 1254
The stability of statistical analysis is an important indicator for reproducibility, which is one main principle of the scientific method. It entails that... 
Scientific method | Vector space | Euclidean space | Programming languages
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10. Stabilized Nearest Neighbor Classifier and its Statistical Properties
: 1
by Will Wei Sun and Xingye Qiao and Guang Cheng
Journal of the American Statistical Association, ISSN 0162-1459, 09/2016, Volume 111, Issue 515, p. 1254
  The stability of statistical analysis is an important indicator for reproducibility, which is one main principle of the scientific method. It entails that... 
Statistical analysis | Classification | Bayesian analysis
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11. Stabilized Nearest Neighbor Classifier and its Statistical Properties
by Sun, Will Wei and Qiao, Xingye and Cheng, Guang
Journal of the American Statistical Association, ISSN 0162-1459, 09/2016, Volume 111, Issue 515, pp. 1254 - 1265
The stability of statistical analysis is an important indicator for reproducibility, which is one main principle of the scientific method. It entails that... 
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12. Full Text A statistical approach to set classification by feature selection with applications to classification of histopathology images
by Jung, Sungkyu and Qiao, Xingye
Biometrics, ISSN 0006-341X, 09/2014, Volume 70, Issue 3, pp. 536 - 545
Summary Set classification problems arise when classification tasks are based on sets of observations as opposed to individual observations. In set... 
Canonical angles | Discriminant analysis | Set classification | Hotelling's T‐square | Bioinformatics | Multidimensional scaling | Principal component analysis | Hotelling's T-square | STATISTICS & PROBABILITY | NUCLEAR-STRUCTURE | VECTOR | DISTANCE-WEIGHTED DISCRIMINATION | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | Microscopy - methods | Biopsy - methods | Data Interpretation, Statistical | Reproducibility of Results | Humans | Image Interpretation, Computer-Assisted - methods | Models, Statistical | Algorithms | Cell Nucleus - pathology | Computer Simulation | Sensitivity and Specificity | Liver Neoplasms - pathology | Image Enhancement - methods | Pattern Recognition, Automated - methods | Histochemistry
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13. Full Text 中美体育经纪行业比较——兼论中国体育经纪行业制度优化
by 白莉莉;冯晓露;乔凤杰
体育学刊, ISSN 1006-7116, 2017, Volume 24, Issue 5, pp. 57 - 62
... 
体育管理;体育经纪;体育中介服务;中国;美国
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14. Full Text 翻译行业正面临巨大压力（英文）
by 佘巧耘
大学英语, ISSN 1000-0445, 2017, Issue 12, pp. 47 - 49
Translation can be lonely work,which may well be why most translators choose the career out of interest,not because they crave attention.Until recently,a... 
阅读材料 | 英语学习 | 学习方法 | 阅读知识
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15. Full Text Adaptive Weighted Learning for Unbalanced Multicategory Classification
by Qiao, Xingye and Liu, Yufeng
Biometrics, ISSN 0006-341X, 03/2009, Volume 65, Issue 1, pp. 159 - 168
In multicategory classification, standard techniques typically treat all classes equally. This treatment can be problematic when the dataset is unbalanced in... 
Adaptive learning | Mean within group error | Multicategory classification | Unbalanced data | Weighted learning | Datasets | Training | Biometrics | Error rates | Bayes rule | Biometric Methodology | Machine learning | Mathematical vectors | Information classification | Learning procedures | Term weighting | SUPPORT VECTOR MACHINES | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | STATISTICS & PROBABILITY | Models, Theoretical | Data Interpretation, Statistical | Biometry - methods | Artificial Intelligence | Humans
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16. Full Text 房地产行业启动绿色供应链行动
by 黄春桥
中华环境, ISSN 2095-7033, 2016, Issue 7, pp. 67 - 67
6月5日，由阿拉善SEE生态协会主办，阿拉善SEE基金会、中城联盟、全联房地产商会联合主办的“2016第四届中国企业绿色契约论坛”在北京举行。在论坛上，阿拉善SEE生态协会、中城联盟、全联房地产商会、朗诗、万科共同发布了“房地产行业绿色供应链行动”。 
中国企业 | 协会 | 房地产行业 | 阿拉善 | 主办 | 生态 | 绿色供应链 | 基金会
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17. Full Text 黑龙江省电力行业市场竞争状况调研报告
by 赵恩泽;孙立辉;朱显延;王秀东;姜晓燕;纪祥勇;乔岸峰
中国市场监管研究, ISSN 1004-7654, 2017, Issue 10, pp. 64 - 69
... 
市场竞争 | 调研报告 | 电力行业
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18. Full Text 美国如何监管资产管理行业?
by 玛丽·乔·怀特 宋莹 鲁振坤
金融市场研究, ISSN 2095-3658, 2015, Issue 3, pp. 132 - 137
自1940年以来,美国证监会根据当时的市场状况,先后实施了多项必要的改革。本文总结了美国证监会对资产管理行业的监管演变,并进一步对其未来监管新举措进行诠释,从而切实保护消费者的合法权益。 
美国证监会;资产管理;监管;风险
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19. Full Text Incidence and Risk Factors of Acute Pancreatitis after Scoliosis Surgery
by Feng, Fan and Tan, Haining and Li, Xingye and Qiao, Yi and Chen, Chong and Lin, Youxi and Li, Zheng and Shen, Jianxiong
Spine, ISSN 0362-2436, 05/2018, Volume 43, Issue 9, pp. 630 - 636
complication | corrective surgery | risk factor | acute pancreatitis | scoliosis
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20. Full Text Improved perfusion pattern score association with type 2 diabetes severity using machine learning pipeline: Pilot study
by Chen, Yuheng and Duan, Wenna and Sehrawat, Parshant and Chauhan, Vaibhav and Alfaro, Freddy J and Gavrieli, Anna and Qiao, Xingye and Novak, Vera and Dai, Weiying
Journal of Magnetic Resonance Imaging, ISSN 1053-1807, 03/2019, Volume 49, Issue 3, pp. 834 - 844
Background Type 2 diabetes mellitus (T2DM) is associated with alterations in the blood–brain barrier, neuronal damage, and arterial stiffness, thus affecting... 
type 2 diabetes mellitus | machine learning | perfusion diabetes pattern score | CEREBRAL GLUCOSE-METABOLISM | CLASSIFICATION | MELLITUS | MODEL | BLOOD-FLOW | COGNITIVE FUNCTION | DECLINE | INSULIN-RESISTANCE | BODY-MASS INDEX | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | BRAIN | Type 2 diabetes | Brain damage | Neurons | Analysis | Machine learning | Neuroimaging | Pipelines | Cognitive ability | Substantia grisea | Learning | Stiffness | Diabetes mellitus (non-insulin dependent) | Medical imaging | Statistical analysis | Test procedures | Diabetes mellitus | Principal components analysis | Regression analysis | Metabolism | Statistical tests | Patients | Cholesterol | Field strength | Learning algorithms | Population (statistical) | Magnetic resonance imaging | Perfusion | Correlation analysis | Biomarkers | Diabetes | Brain injury
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